Cyclist efficiency and its dependence on infrastructure and usual speed |
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| Affiliation: | 1. The Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden;2. Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden;3. Department of Computer and Information Science, Linköping University, Linköping, Sweden;1. University of Michigan Transportation Research Institute, Ann Arbor, MI, United States;2. Center for Advancing Transportation Leadership and Safety (ATLAS Center), Ann Arbor, MI, United States;3. Miami University, Sociology and Gerontology, Oxford, OH, United States;4. Monash University Accident Research Centre, Clayton, Australia;5. Institute for Social Research, University of Michigan, Ann Arbor, MI, United States;6. Institute of Gerontology, Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, United States;7. Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States;8. Department of Anesthesiology, Columbia University College of Physicians and Surgeons, New York, NY, United States;9. Department of Epidemiology, Mailman School of Public Health, Columbia''s Injury Control Research Center, Columbia University, New York, NY, United States;10. Bassett Research Institute, Bassett Healthcare Network, Cooperstown, NY, United States;1. UHasselt, Transportation Research Institute (IMOB), Agoralaan, 3590 Diepenbeek, Belgium;2. Vias Institute, Haachtsesteenweg 1405, 1130 Brussels, Belgium;3. Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, C.P. 6079, succ. Centre-Ville Montréal, Québec H3C 3A7, Canada;1. SWOV Institute for Road Safety Research, P.O. Box 93113, 2509 AC Den Haag, The Netherlands;2. Delft University of Technology, P.O. Box 50152600, GA Delft, The Netherlands;3. VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands |
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| Abstract: | Bicyclists are a heterogeneous group, with varying abilities, traffic education and experience. While efficiency was identified as an important factor on utility bicycle trips, it might be traded for experienced safety, for example by choosing different pathways in a given situation, or by relinquishing one’s right of way. In a semi-controlled study with 41 participants, a grouping was made according to self-reported riding speed in relation to other cyclists. The participants cycled twice along a 3 km inner-city route, passing four intersections with different priority rules. The cyclists were free to choose how to negotiate the intersections. Speed and the traffic surroundings were recorded via gps and cameras on the bike of the participant and of a following experimenter. For each cyclist, the ‘base’ speed on undisturbed segments was determined as reference. Based on this, the efficiency in different types of intersections was computed per cyclist group. It turned out that infrastructural aspects, cyclist group and the presence and behaviour of interacting traffic influenced cyclist efficiency. Faster cyclists were delayed more when the infrastructure required a stop regardless of the traffic situation, like at a red traffic light or a stop sign. The members of the so-called ‘comfort cyclists’ group were delayed the most in a roundabout with mixed traffic, where many chose to get off their bike and walk. In a society working for equality of access to the transport system, it is recommended to develop solutions that consider and accommodate the behaviours of different cyclist groups when planning bicycling infrastructure. |
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| Keywords: | Bicycle Traffic efficiency Infrastructure Traffic safety Cyclist type |
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